Emma Clement

6.8k citations
40 papers · 1.3k · h-index 16

Impact in

  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research
    • Genomics and Rare Diseases
    • Cell Adhesion Molecules Research

Papers in

    • Muscle Physiology and Disorders 11
    • Ubiquitin and proteasome pathways 3
    • Ion channel regulation and function 2
    • Genomics and Rare Diseases 7
    • Neurogenetic and Muscular Disorders Research 3

Emma Clement

34 papers receiving 1.3k citations

Peers

Emma Clement
Comparison fields: 5 of 77
  • Genetics 178
  • Immunology and Allergy 93
  • Molecular Biology 899
  • Cardiology and Cardiovascular Medicine 195
  • Genetics 251
Replace Genri Kawahara with:
Genri Kawahara United States
Susana Quijano‐Roy France
Paola Prandini Italy
Cheryl Longman United Kingdom
Līvija Medne United States
P. Gallano Spain
Ikuya Nonaka Japan
Luca Bello Italy
Rita Barresi United Kingdom
Terri G. Thompson United States
Emma Clement relative to Genri Kawahara United States Genri Kawahara's profile →
Citations per field
00.5×1.5×2.5×
Genri Kawahara · 1×
Citations per year

Countries citing papers authored by Emma Clement

Since Specialization
Citations

This map shows the geographic impact of Emma Clement's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emma Clement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Clement more than expected).

Fields of papers citing papers by Emma Clement

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma Clement. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emma Clement. The network helps show where Emma Clement may publish in the future.

Co-authors

The 25 scholars most cited alongside Emma Clement, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emma Clement Line = papers co-authored together Emma Clement links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011172
2 2010138
3 2006108
4 2009107
5 2009105
6 201889
7 200889
8 201166
9 200857
10 202041
11 201241
12 201941
13
Muscular dystrophies due to defective glycosylation of dystroglycan.
200737
14 201636
15 201633
16 202019
17 201715
18 200914
19 201913
20 202013

About Emma Clement

Emma Clement is a scholar working on Molecular Biology, Genetics, Genetics, Sensory Systems and Surgery, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Genomics and Rare Diseases (7 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Ubiquitin and proteasome pathways (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Cellular transport and secretion (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Genetics (178 citations), Immunology and Allergy (93 citations), Molecular Biology (899 citations), Cardiology and Cardiovascular Medicine (195 citations) and Genetics (251 citations). Emma Clement has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Caroline Godfrey, A. Reghan Foley, Francesco Muntoni, Eugenio Mercuri, Francesco Muntoni, Caroline A. Sewry, Stephen Abbs, C. Jimenez‐Mallebrera, R. Mein and Lucy Feng. Their work appears in journals such as Neuromuscular Disorders, Neuroradiology, American Journal of Neuroradiology, Annals of Neurology and Journal of Medical Genetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact